How To Build Successful AI Models
ฝัง
- เผยแพร่เมื่อ 26 มิ.ย. 2024
- This conversation between artificial intelligence industry experts about the role of philanthropy, security and government in helping unlock the potential of AI. This conversation took place at Imagination In Action’s ‘Forging the Future of Business with AI’ Summit in April 2024.
0:00 Introduction
1:34 What's Different About The AI Ecosystem Lately
7:05 What Can We Learn From AI Models
12:33 Personalization And Engagement Of AI Models
22:31 AI's Impact On Society/Relationships
26:35 The Economic Shift Of Labor From AI
Subscribe to FORBES: th-cam.com/users/Forbes?s...
Fuel your success with Forbes. Gain unlimited access to premium journalism, including breaking news, groundbreaking in-depth reported stories, daily digests and more. Plus, members get a front-row seat at members-only events with leading thinkers and doers, access to premium video that can help you get ahead, an ad-light experience, early access to select products including NFT drops and more:
account.forbes.com/membership...
Stay Connected
Forbes newsletters: newsletters.editorial.forbes.com
Forbes on Facebook: forbes
Forbes Video on Twitter: / forbes
Forbes Video on Instagram: / forbes
More From Forbes: forbes.com
Forbes covers the intersection of entrepreneurship, wealth, technology, business and lifestyle with a focus on people and success.
Nice Panel
Thank you
🎧👏
It is very difficult for humans to accurately predict the long-term future, especially in a rapidly evolving field like artificial intelligence (AI). The predictions made in the video represent visions and goals, but the actual implementation and impact will depend on many factors, including unforeseen technological developments, changes in policies and the economy, and society’s response to these technologies.
AI, with its ability to analyze large amounts of data and identify complex patterns, could indeed be better equipped to make accurate predictions about future developments. However, AI also has its limitations, and its predictions heavily depend on the data and models used.
Here are some key points on how AI could be used to make more accurate predictions:
1. Big Data Analysis: AI can analyze large volumes of data from various sources to identify trends and patterns that might not be evident to humans.
2. Predictive Models: AI can use advanced predictive models to simulate future scenarios based on current and historical variables. These models can be continuously updated with new data to improve the accuracy of the predictions.
3. Continuous Learning: AI algorithms can improve over time through continuous learning, adapting to new data and changes in conditions.
4. Multidisciplinary Approach: By combining knowledge from different fields (e.g., economics, sociology, technology), AI can provide a more holistic and comprehensive view of potential future developments.
🫡💎📈
Panel discussion are such waste of time. Cheap to make and no preparation